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Utopia Fulfillment

Senior AI Engineer &ndash; E-commerce DivisionLocation: On-site Company: Utopia Deals Experience: 3&ndash;5 Years Job Type: Full-timeAbout Utopia DealsUtopia Deals is a fast-growing e-commerce company focused on delivering exceptional value and customer experiences through data-driven innovation. We leverage advanced technology and AI to optimize pricing, personalization, supply chain efficiency, and customer engagement across our platforms.Role OverviewWe are seeking a Senior AI Engineer with 3&ndash;5 years of hands-on experience to join our E-commerce Division. In this role, you will design, build, and deploy AI/ML solutions that directly impact business performance, customer experience, and operational efficiency.Key Responsibilities<ul><li>Design, develop, and deploy machine learning and AI models for e-commerce use cases such as recommendations, demand forecasting, pricing optimization, fraud detection, and customer segmentation</li><li>Work closely with product managers, data engineers, and business stakeholders to translate business needs into scalable AI solutions</li><li>Build and maintain end-to-end ML pipelines, including data preprocessing, model training, evaluation, and deployment</li><li>Optimize model performance, scalability, and reliability in production environments</li><li>Analyze large datasets to extract insights and drive data-informed decisions</li><li>Stay updated with the latest AI/ML trends and recommend innovative solutions for business growth</li></ul>Required Qualifications<ul><li>3&ndash;5 years of professional experience as an AI Engineer, Machine Learning Engineer, or similar role</li><li>Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn</li><li>Solid understanding of machine learning algorithms, deep learning, and statistical modeling</li><li>Experience working with large datasets, SQL/NoSQL databases, and data pipelines</li><li>Hands-on experience deploying ML models in production environments (cloud or on-premise)</li><li>Strong problem-solving skills and ability to work in a fast-paced environment</li></ul>Preferred Qualifications<ul><li>Experience in e-commerce, retail, or marketplace platforms</li><li>Knowledge of recommendation systems, NLP, or time-series forecasting</li><li>Experience with cloud platforms such as AWS, GCP, or Azure</li><li>Familiarity with MLOps tools and practices (CI/CD, model monitoring, versioning)</li></ul>What We Offer<ul><li>Competitive salary and performance-based incentives</li><li>Opportunity to work on real-world, high-impact AI problems</li><li>Collaborative and innovative work culture</li><li>Career growth and learning opportunities</li></ul>Share your resumes at ahmed.mazhar@utopiadeals.com with position title in Subjectline.Job Type: Full-timeWork Location: In person

Senior AI Engineer

Liquid Technologies

Liquid Technologies (LiqTeq) is an end-to-end Design and Development Agency. We offervarious services in DevOps, Data services and AI to multiple businesses and organizations and those that are in the startup phase. We're a team of creators, thinkers, explorers and judo trainees. We approach work and play with curiosity and experimentation, using what we learn to create meaningful digital products that connect with people.We are looking to add a ML Engineer to join our Karachi office.Key Responsibilities:<ul><li>Deploy, monitor, and manage machine learning models in production environments.</li><li>Develop and maintain scalable ML pipelines for training and inference.</li><li>Automate model retraining and deployment using CI/CD workflows.</li><li>Optimize cloud and on-prem infrastructure for ML workloads.</li><li>Implement monitoring, logging, and alerting for model performance and drift detection.</li><li>Ensure reproducibility, version control, and governance for ML models.</li><li>Collaborate with data scientists to optimize model deployment strategies.</li><li>Work with Kubernetes, Docker, and cloud platforms (AWS, GCP, Azure) for model hosting.</li><li>Manage feature stores, model registries, and data pipelines.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor's or Master&rsquo;s degree in Computer Science, AI, Data Science, or a related field.</li><li>Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>Experience with ML pipeline orchestration tools like Kubeflow, Airflow, or MLflow.</li><li>Strong knowledge of DevOps &amp; CI/CD practices for ML (Git, Jenkins, Docker, Kubernetes).</li><li>Familiarity with cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML).</li><li>Experience in model monitoring, logging, and automated retraining.</li><li>Understanding of data engineering, feature stores, and ETL pipelines.</li><li>Strong problem-solving and collaboration skills.</li><li>Previous experience in applying machine learning to service sector domains, such as retail, hospitality, transportation, or similar, is a plus.</li><li>Knowledge of cloud platforms (e.g AWS, Azure, GCP) and their machine learning services are advantageous.</li><li>Excellent communication skills to convey technical concepts to diverse audiences effectively.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Have you completed the following level of education: Bachelor's Degree?</li><li>What's your Current Salary?</li><li>What's your Expected Salary?</li><li>If selected, how soon can you join us?</li><li>Are you comfortable to commute to Zamzama?</li><li>Have you deployed machine learning models to a production environment using Docker and/or Kubernetes? </li><li>How many years of hands-on experience do you have working with machine learning pipelines (training, deployment, monitoring)?</li><li>Have you used any cloud ML services (e.g., AWS SageMaker, GCP Vertex AI, Azure ML) in a real project? </li></ul>Work Location: In person

ML Engineer

ALBI

<div>We are a fast-growing SaaS company on a mission to propel the restoration industry forward by empowering restoration companies with the technology they need to scale and grow their businesses.
Recently voted a Top 10 Start-up in Chicago by LinkedIn and a Top Start-up by Built In, and backed by Y Combinator, this is an exciting time to join our team as we enter a stage of rapid growth and product expansion.
We&rsquo;re looking for an AI / ML Engineer to help us build production-grade AI systems that power real operational workflows across our platform. This role is hands-on and highly impactful &mdash; you&rsquo;ll work on NLP, LLM-powered features, AI-driven automations, and scalable machine learning systems that are actively used by customers.
You&rsquo;ll collaborate closely with product, engineering, and leadership, owning AI features end-to-end &mdash; from data and models to APIs and production deployment &mdash; while helping shape the future of AI at Albi.
Requirements
Key Responsibilities:<ul>
<li>
Design, build, and deploy applied AI and ML features used in production environments</li>
<li>Develop NLP and LLM-based systems (classification, extraction, summarization, QA, RAG)</li>
<li>Build and maintain AI-driven workflows and automations integrated with core product logic</li>
<li>Design and implement backend services and APIs to support AI inference and data processing</li>
<li>Work with embeddings, vector search, and retrieval-augmented generation (RAG) pipelines</li>
<li>Train, fine-tune, and optimize domain-specific machine learning models</li>
<li>Improve model performance across accuracy, latency, reliability, and cost</li>
<li>Deploy and monitor ML systems in cloud environments</li>
<li>Collaborate closely with product managers and engineers to deliver impactful AI features</li>
<li>Participate in architectural decisions, code reviews, and technical planning</li>
<li>Contribute to testing, monitoring, and continuous improvement of AI systems in production</li>
</ul>
Requirements:<ul>
<li>
3+ years of professional experience in AI / ML or software engineering roles</li>
<li>Strong proficiency in Python</li>
<li>Hands-on experience with machine learning, NLP, or LLM-based systems</li>
<li>Experience deploying ML models or AI services into production</li>
<li>Experience building and integrating RESTful APIs</li>
<li>Familiarity with cloud platforms (Azure, AWS, or GCP)</li>
<li>Understanding of CI/CD pipelines and production reliability</li>
<li>Strong problem-solving skills and a product-oriented mindset</li>
<li>Excellent collaboration and communication skills</li>
</ul>
Benefits
We&rsquo;re driven by purpose, fueled by high energy, and backed by venture funding. We&rsquo;re unapologetically ambitious and make sure that everyone has the support they need to succeed.
We offer a competitive and comprehensive benefits package, including:<ul>
<li>
Competitive salary (based on experience and location)</li>
<li>Generous PTO</li>
<li>Medical, dental, and vision insurance coverage</li>
<li>401(k) plan</li>
<li>High ownership and autonomy over your work</li>
<li>Collaboration with a team of smart, kind, and motivated engineers</li>
<li>An environment where your ideas are valued and growth is prioritized</li>
<li>Regular team events and company off-sites</li>
<li>Equipment budget to help you do your best work</li>
<li>Ongoing learning, mentoring, and career development opportunities</li>
</ul>
Your journey is your own &mdash; and we&rsquo;re here to help you thrive, no matter your starting point.</div>

AI / ML Engineer (Applied AI & Automations)

Bahria Foundation

Qualification: &middot; Bachelor in AI, Computer Science, Software Engineering, or related fieldExperience:&middot; Hands-on experience implementing AI models; 1&ndash;2 years of experience preferred.Skills/Competencies: &middot; Develop and implement AI and machine learning models using Python or R.&middot; Work hands-on with data to build scalable AI solutions that integrate with business processes.&middot; Collaborate with cross-functional teams to identify AI opportunities and deliver innovative solutions.Solid knowledge of Python or R programming languages and machine learning fundamentalsJob Types: Full-time, Contract Contract length: 12 monthsWork Location: In person

Al Developer

Sindh Integrated Emergency & Health Services (SIEHS)

ORGANIZATION CHART (IMMEDIATE LINE &amp; FUNCTIONAL RELATIONSHIP)Artificial Intelligence EngineerManager &ndash; ERP &amp; ApplicationsGENERAL PURPOSE:This position is for a talented and innovative Artificial Intelligence Engineer to join our Team. This role will focus on designing, developing, and deploying AI and Machine Learning (ML) models that enhance the functionality, intelligence, and user experience of enterprise applications. The ideal candidate will have strong technical skills, hands-on experience in AI/ML development, and a passion for turning data into actionable insights through intelligent systems. Candidate would be able to take new projects and he/she should able to coordinate with internal and external stakeholders for the execution in a timely and cost-effective manner.JOB RESPONSIBILITIES &amp; AUTHORITIES:System Implementation &amp; Support<ul><li>Design, develop, and implement machine learning models and AI-driven algorithms for classification, prediction, natural language processing, and optimization tasks.</li><li>Evaluate model performance using metrics and apply hyperparameter tuning and retraining as needed.</li><li>Design, code, test, and manage various applications.</li><li>Follow outlined standards of quality related to code and systems.</li><li>Integrate with front-end developers to create seamless, user-friendly interfaces.</li><li>Write testable, server-side code to ensure stability and reliability.</li><li>Work closely with the application development team to integrate AI models into web, desktop, and mobile applications.</li><li>Support and fix existing functionalities to maintain and improve performance.</li><li>Design and build application layers to enhance architecture and scalability.</li><li>Proficiency in designing, coding, testing, and debugging software components.</li></ul>COMPETENCY MATRIX:Communication&middot; Communicates on project schedule with software development/implementation vendors and tracks progress of tasks vs. agreed schedule.&middot; Effectively communicates relevant IDS-related information to the project team and IDS support teams.&middot; Escalates issues that are adversely impacting the project schedule or deliverable completion to the project manager, IT team and the concerned vendors.Skills&middot; Generalo Understands the concepts, practices, procedures and deliverables associated with IT systems development and implementation.o Partner with business analysts and stakeholders to identify use cases where AI can improve efficiency, automation, or user experience.o Deliver proof of concept (PoC) projects and convert them into scalable solutions aligned with business goals.o Can work independently with the experience and judgment to plan and accomplish defined goals and objectives.&middot; Technicalo Strong programming skills in Python (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch).o Experience with model deployment using tools like Flask, FastAPI, or Django.o Hands-on experience with SQL and NoSQL databases for data extraction and manipulation.o Familiarity with cloud AI services such as Azure ML, AWS SageMaker, or Google AI Platform.o Understanding of AI model lifecycle, MLOps practices, and version control (e.g., Git).o Working knowledge of NLP, image recognition, or predictive analytics is a plus.o Exposure to Power BI, Microsoft Azure Cognitive Services, or OpenAI tools/APIs.Key Attributeso Analytical mindset with attention to detail.o Good communication and documentation skills.o Self-motivated and eager to explore new technologies.o Team player with the ability to work in agile environments.Qualification: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or equivalent.Training/Courses: Knowledge of AI concepts like NLP, computer vision, reinforcement learning, etc.Experience: Overall more than 5 years of experience with at least 1 year as data science specialist or BI/AI developer.Age Requirement: Min. 22 yearsDomicile: SindhGender: Male / FemaleLocation: KarachiJob Type: Full-timePay: From Rs100,000.00 per monthWork Location: In person

ARTIFICIAL INTELLIGENCE ENGINEER

Cosmo Resources

At Traxccel, we&rsquo;re transforming the way organizations harness data to drive strategy, optimize operations, and deliver impact. Our advanced analytics and AI-driven platforms empower businesses across industries with cutting-edge insights&mdash;and we&rsquo;re looking for a Senior Data Scientist to help us take our data innovation to the next level.Key Responsibilities<ul><li>Design, build, and deploy machine learning models and AI-driven systems across a variety of domains including NLP, recommendation engines, and generative AI.</li><li>Lead the use of Databricks Mosaic AI for scalable model training, experimentation, and lifecycle governance.</li><li>Leverage Azure AI services (e.g., Azure OpenAI, Cognitive Services) to operationalize and integrate intelligent capabilities into production applications.</li><li>Utilize Azure Foundry and other cloud-native frameworks to architect robust, high-scale AI solutions.</li><li>Translate business challenges into data science problems and deliver measurable results through applied machine learning.</li><li>Implement and maintain enterprise-grade ML workflows with a focus on security, scalability, and performance.</li><li>Apply a range of advanced techniques, including LLMs, prompt engineering, fine-tuning, and traditional ML methods.</li><li>Collaborate with engineering, analytics, and product teams to deliver end-to-end AI solutions.</li><li>Mentor junior data scientists and foster a culture of innovation, experimentation, and ethical AI use.</li></ul>Required Qualifications<ul><li>7+ years of hands-on experience in data science and ML model deployment in production environments.</li><li>Deep expertise with Databricks Mosaic AI, including distributed training, MLOps, and governance.</li><li>Strong experience with the Microsoft Azure ecosystem&mdash;especially Azure AI, Azure ML, Azure Foundry, and Azure Synapse.</li><li>In-depth understanding of machine learning, LLMs, NLP, and related evaluation and integration techniques.</li><li>Proficient in Python and libraries such as scikit-learn, PyTorch/TensorFlow, Hugging Face Transformers.</li><li>Experience designing reproducible ML pipelines and ensuring model performance and observability.</li><li>Familiar with MLflow, Git, Azure DevOps, and other tools used for collaboration, versioning, and model tracking.</li></ul>Preferred Qualifications<ul><li>Demonstrated experience building scalable, cloud-native AI systems in a production setting.</li><li>Knowledge of responsible AI practices, including fairness, transparency, bias mitigation, and compliance.</li><li>Familiarity with vector databases and tools for LLM evaluation and monitoring.</li></ul>Job Type: Full-timeWork Location: In person

Senior Data Scientist

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader">Job Title: AI Data Scientist (Offshore)</h2>
Duration: 6 Months (Extendable) 
Experience: 6&ndash;8 Years 
Location: Offshore (Remote) 
Industry: Multi-Industry (with focus on Financial Sector) 
Employment Type: Contract (6 Months - Higher possiblity for extension)<h3 class="jobSectionHeader">
Job Summary</h3>
We are seeking a highly skilled AI Data Scientist with hands-on experience in building and deploying advanced data science and machine learning models, particularly within the financial services domain. The ideal candidate will have strong proficiency in Python, SQL, and Google Cloud Platform (GCP) tools &mdash; leveraging platforms like BigQuery, Vertex AI, Dataflow, Dataproc, Pub/Sub, GCS, and Looker to deliver scalable and automated AI solutions.
This is an exciting 6-month contract role (with potential extension) focused on developing descriptive, predictive, and prescriptive models and deploying them in production using MLOps best practices.<h3 class="jobSectionHeader"> 
Key Responsibilities</h3><ul><li>
Design and develop data science and machine learning models across descriptive, predictive, and prescriptive analytics.</li><li>
Work closely with business stakeholders&mdash;especially in the financial sector&mdash;to translate complex problems into AI-driven solutions.</li><li>
Develop and automate end-to-end ML pipelines on GCP using Vertex AI, Dataflow, Pub/Sub, and Dataproc.</li><li>
Implement MLOps frameworks for continuous integration, deployment, and monitoring of machine learning models.</li><li>
Analyze large datasets using BigQuery and other GCP-native tools for data transformation, feature engineering, and model training.</li><li>
Visualize insights and performance metrics using Looker and other BI tools.</li><li>
Collaborate with data engineers, analysts, and cloud architects to ensure seamless model deployment and scalability.</li><li>
Evaluate model performance and refine algorithms for improved accuracy and business impact.</li></ul><h3 class="jobSectionHeader"> 
Required Skills &amp; Qualifications</h3><ul><li>
5&ndash;8 years of professional experience in data science, AI/ML, and analytics roles.</li><li>
Proven expertise in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) and SQL for data analysis and model development.</li><li>
Hands-on experience with GCP ecosystem, including:<ul><li>
BigQuery (data querying and transformation)</li><li>
Vertex AI (model training, tuning, deployment)</li><li>
Dataflow / Dataproc (data processing pipelines)</li><li>
Pub/Sub (event-driven data streaming)</li><li>
GCS (Google Cloud Storage) and Looker (visualization and reporting)</li></ul></li><li>
Strong knowledge of MLOps automation and continuous deployment best practices.</li><li>
Experience developing models in financial services (risk scoring, fraud detection, customer analytics, forecasting, etc.).</li><li>
Strong understanding of statistical modeling, feature engineering, and model performance evaluation.</li><li>
Excellent problem-solving and communication skills with ability to work in multi-industry environments.</li></ul><h3 class="jobSectionHeader"> 
Preferred Qualifications</h3><ul><li>
Experience in multi-cloud or hybrid environments.</li><li>
Knowledge of CI/CD pipelines for ML (GitHub Actions, Jenkins, or Cloud Build).</li><li>
Exposure to deep learning frameworks (TensorFlow, PyTorch).</li><li>
Experience in time-series forecasting, credit modeling, or financial risk analytics.</li></ul>
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AI Data Scientist

Explore 459+ Machine learning engineer in Karachi Pakistan this January. Find roles across top companies and apply now to boost your career.